🔗 Who cites «RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder»

67 papers of our library cite it (of the 141,840 whose bibliographies we read) · 8 with a page here, the most cited first · ← back to «RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder»

1. M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge DistillationJianlv Chen, Shitao Xiao, Peitian Zhang, et al.2024 · 1,196 citations
2. Towards General Text Embeddings with Multi-stage Contrastive LearningZehan Li, Xin Zhang, Yanzhao Zhang, et al.2023 · 378 citations
3. Fine-Tuning LLaMA for Multi-Stage Text RetrievalXueguang Ma, Liang Wang, Nan Yang, et al.2023 · 254 citations
4. mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text RetrievalXin Zhang, Yanzhao Zhang, Dingkun Long, et al.2024 · 236 citations
5. Generative Representational Instruction TuningNiklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 165 citations
6. Text Embeddings Reveal (Almost) As Much As TextJohn Morris, Volodymyr Kuleshov, Vitaly Shmatikov, et al.2023 · 146 citations
7. How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense RetrievalSheng-Chieh Lin, Akari Asai, Minghan Li, et al.2023 · 115 citations
8. Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long DocumentsMichael Gunther, Jackmin Ong, Isabelle Mohr, et al.2023 · 75 citations

59 more papers of our library cite it; they have no page here yet.

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